NDLI: Management of wireworm damage in maize fields using new, landscape-scale strategies

Content Provider	Springer Nature Link
Author	Saussure, Stéphanie Plantegenest, Manuel Thibord, Jean Baptiste Larroudé, Philippe Poggi, Sylvain
Copyright Year	2015
Abstract	Crop-damaging wireworms—the soil-dwelling larvae of click beetles—have resurged in Europe over the past 15 years, particularly in French maize crops. There is currently no curative treatment available to control wireworms, and preventive treatments are mainly chemical. We therefore need to better understand factors that rule damage for developing agroecological control strategies. In this investigation, we tested the effect of agricultural practices and local landscape on wireworm damage in maize crops. We surveyed wireworm damage in 341 fields under various conditions in western France in 2011 and 2012. We used in particular a random forest algorithm to impute missing values and an automated model selection routine to select the best beta regression model. Our results show that the occurrence of grassland in the rotation increases wireworm damage. Tillage also shows a high influence, though varying with season and year. Wireworm damage is decreased by the presence of hedges or cultivated crops at the field border, whereas it is increased by the presence of grassland at the field border. Overall, our findings provide some insights to develop preventive solutions for the sustainable control of wireworms, as well as a framework for data processing to analyze a wide range of similar situations involving other crops and pests.
Starting Page	793
Ending Page	802
Page Count	10
File Format	PDF
ISSN	17740746
Journal	Agronomy for Sustainable Development
Volume Number	35
Issue Number	2
e-ISSN	17730155
Language	English
Publisher	Springer Paris
Publisher Date	2015-01-14
Publisher Institution	Institut National de la Recherche Agronomique (INRA)
Publisher Place	Paris
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Wireworm damage Crop protection Agricultural practices Landscape context Model selection Beta regression Agriculture Soil Science & Conservation Sustainable Development
Content Type	Text
Resource Type	Article
Subject	Environmental Engineering Agronomy and Crop Science

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